Title :
Graphs with tiny vector chromatic numbers and huge chromatic numbers
Author :
Feige, Uriel ; Langberg, Michael ; Schechtman, Gideon
Author_Institution :
Dept. of Comput. Sci. & Appl. Math., Weizmann Inst. of Sci., Rehovot, Israel
Abstract :
Karger Motwani and Sudan (1998) introduced the notion of a vector coloring of a graph. In particular they show that every k-colorable graph is also vector k-colorable, and that for constant k, graphs that are vector k-colorable can be colored by roughly Δ1-2k/ colors. Here Δ is the maximum degree in the graph. Their results play a major role in the best approximation algorithms for coloring and for maximal independent set. We show that for every positive integer k there are graphs that are vector k-colorable but do not have independent sets significantly larger than n/Δ1-2k/ (and hence cannot be colored with significantly less that Δ1-2k/ colors). For k = O(log n/log log n) we show vector k-colorable graphs that do not have independent sets of size (log n)c, for some constant c. This shows that the vector chromatic number does not approximate the chromatic number within factors better than n/polylogn. As part of our proof, we analyze "property testing" algorithms that distinguish between graphs that have an independent set of size n/k, and graphs that are "far" from having such an independent set. Our bounds on the sample size improve previous bounds of Goldreich, Goldwasser and Ron (1998) for this problem.
Keywords :
computational complexity; graph theory; chromatic numbers; graph coloring; graphs; k-colorable graph; maximum degree; property testing; vector coloring; Algorithm design and analysis; Approximation algorithms; Computer science; Mathematics; NP-hard problem; Polynomials; Testing;
Conference_Titel :
Foundations of Computer Science, 2002. Proceedings. The 43rd Annual IEEE Symposium on
Print_ISBN :
0-7695-1822-2
DOI :
10.1109/SFCS.2002.1181951